Making Science is seeking a data engineer to design and implement cloud-based data architectures on AWS, building scalable ETL/ELT pipelines and managing data lakes and warehouses. You will collaborate with analysts, scientists, and DevOps across international teams, contributing to data governance and security. The role offers a hybrid work model with opportunities for growth and hands-on training. You will leverage AWS Glue, S3, Redshift, DynamoDB, and Athena, while advancing data modeling,
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📌 AWS Data Engineer — Cloud ETL & Data Lakes | Flexible Hours (Madrid)
🏢 Making Science Group
📍 Madrid
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